Ontology-Based Photo Annotation
By G. Schreiber, B. Dubbeldam, J. Wielemaker, Bob J. Wielinga. IEEE Intelligent Systems, 2001
350 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/cc6087ac55f7cb24abe34c5026f28adb22df3d26
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Tat-seng Chua
- Erwin M. Bakker
- Cees G. M. Snoek
- Wei-Ying Ma
- Marcel Worring
- Viktor K. Prasanna
- Michael S. Lew
- Na Chen
In Computer Vision and Pattern Recognition
- Dacheng Tao
- Luc Van Gool
- Cees G. M. Snoek
- Trevor Darrell
- Xiaogang Wang
- Jitendra Malik
- Cordelia Schmid
- Yi Yang
Citations in the corpus
- Image and Video Retrieval (2003, background): “Similarly, a constructive learning algorithm-based RBF neural network for relevance feedback is proposed by Qian et al [34].”
- Understanding web images by object relation network (2012, background): “, [23, 21]) have been proposed to provide description templates for image and video annotation.”
- Concept-Based Video Retrieval (2009, methodology): “It is the reason why ontologies have initially been used mainly to support manual annotation of visual content [101, 201].”